Latchshot for Gemini CLI

Latchshot for Gemini CLI

Provides two MCP tools (capture_page and get_usage) that let Gemini CLI capture public web pages as PNG/JPEG/PDF and check render quota, all via a hosted Streamable HTTP endpoint without local browser.

Category
访问服务器

README

Latchshot for Gemini CLI

Give Gemini CLI two bounded tools for public-page artifacts without installing a browser locally:

  • capture_page returns a PNG, JPEG, or PDF plus render diagnostics.
  • get_usage reads the current plan and successful-render allowance without consuming quota.

The extension contains no executable code, hooks, commands, skills, agents, or always-on prompt content. It connects Gemini CLI directly to Latchshot's hosted MCP Streamable HTTP endpoint. Gemini CLI stores the API key as a sensitive extension setting and injects it only into the fixed authorization header.

Requirements

Install

Install the extension from its public GitHub repository:

gemini extensions install https://github.com/BaiqingL/latchshot-gemini-cli

Review the manifest when Gemini CLI asks for consent, then enter the Latchshot API key at the configuration prompt. The manifest marks the key as sensitive so Gemini CLI stores it through its secure extension-settings path. Do not pass --skip-settings.

Restart Gemini CLI, then run /extensions list or this terminal command:

gemini extensions list

The Latchshot server should expose capture_page and get_usage. To replace the key later, run:

gemini extensions config latchshot "Latchshot API key"

Example

Ask Gemini:

Use Latchshot to capture https://example.com as an 800 by 450 PNG. Report the byte count, render time, navigation state, fonts state, scripts state, and remaining quota.

A controlled integration check should use a disposable key and one public, non-sensitive URL. Artifact size and render time vary by page.

Boundaries

  • Public HTTP and HTTPS targets on ports 80 and 443 only.
  • Private, loopback, link-local, metadata, credential-bearing, mixed public/private DNS, and non-web-port targets are rejected.
  • No cookies, sessions, arbitrary scripts, CAPTCHA solving, proxy rotation, or anti-bot bypass.
  • The extension exposes no payment or plan-upgrade tool. Failed direct captures do not consume quota, and automatic overages are disabled.
  • Target pages can observe a browser visit from Latchshot infrastructure. Capture only pages you are authorized to use.

Validate

npm test
npx --yes @google/gemini-cli@0.51.0 extensions validate .

The repository uses the gemini-cli-extension GitHub topic so it can be automatically indexed by Gemini CLI's daily gallery crawler after publication and validation. Direct installation from GitHub does not depend on gallery listing. No Google approval, affiliation, or gallery acceptance is claimed.

The repository is MIT licensed. The hosted Latchshot service remains a separate proprietary, quota-metered product.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选